alterlab-nmc-data-journalist

Automating data-journalism workflows involves researching public datasets, cleaning data, performing analysis, and generating publish-ready narratives. This Skill handles the end-to-end process, producing markdown deliverables with methodology notes, visualizations, and sources for investigative reporting.

Yes, FOIA and RTI request data can be used for investigative analysis and storytelling. This Skill searches public datasets and FOIA/RTI resources to assemble relevant data, then performs spreadsheet analysis and methodology documentation to ensure reproducible investigative reporting.

The best way to clean public data for newsroom investigations is to use an autonomous workflow that performs data cleaning, basic statistics, and methodology documentation. This Skill generates markdown deliverables ensuring reproducible methodology, charts, and source annotations for data-driven stories.

Yes, this data-journalism approach supports visualization planning and narrative framing. It designs charts and narratives, creates annotations, and outputs production-ready files for publication, meeting the requirements of data sourcing, analysis, and visualization planning for data storytelling projects.

To turn raw public datasets into a markdown data-story draft, you clean the data, perform analysis, and generate narrative framing. This Skill outputs production-ready markdown files featuring methodology notes, designed charts, and source documentation for immediate newsroom publication.

Limitations for autonomous data-driven investigative stories include the reliance on accessible public datasets and FOIA/RTI portals. The Skill performs basic statistics and spreadsheet analysis, meaning complex statistical modeling may require supplementary tools beyond its built-in self-review capabilities.